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R Workshop

Module 6: “To Infinity and Beyond” (2)

2018-04-18
Bobae Kang
(Bobae.Kang@illinois.gov)

Agenda

  • Part 1: Sharing your work
  • Part 2: Leveraging online resources

Why online resources?

  • We cannot know everything.
  • In fact, no one knows everything!
  • “Someone has already done it.”

Before going online

"The 15 minute rule"

  • First, try yourself!
  • If you cannot solve it, then go online.

"Oops, my bad"

  • typos
  • packages

Error messages

Help function

Google

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Source: Google.com

How to ask questions

  • Be specific and succint

"Official" resources

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Source: R Project

CRAN

Manuals

Task Views

Pacakge reference manuals

Pacakge vignettes

R Studio website

  • Cheetsheets
  • Webinar & videos

Cheetsheets

  • Can also be downloaded via RStudio IDE

image - data manipulation

Webinar & vidoes

Tidyverse website

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R Markdown website

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Shiny website

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htmlwidgets website

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Package websites

Community support

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R-bloggers

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Online "books"

R for Data Science

UC R Programming Guide

Notable websites

R Tutorial

Quick-R

GitHub repositories

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Source: GitHub

What is GitHub?

“GitHub is a development platform inspired by the way you work. From open source to business, you can host and review code, manage projects, and build software alongside millions of other developers.” - GitHub.com

  • Most R packages are available as GitHub repositories, which can be “cloned” and downloaded if wanted.
  • Many R package authors offer brief explanations and even quick tutorials for their packages on the GitHub repositories.

Online courses

Venues

  • DataCamp
  • Coursera
  • edX
  • Udemy
  • Udacity

Datacamp

Coursera

  • Requires registration and log-in
  • You can “audit” the course for free

  • Data Science Specialization (10 courses)

  • Statistics with R Specialization (5 courses)

edX

Udemy

Udacity

Questions?

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Source:

References